Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/22503
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Risteska Stojkoska, Biljana | en_US |
dc.contributor.author | Nikolovski, Zoran | en_US |
dc.date.accessioned | 2022-08-23T11:27:43Z | - |
dc.date.available | 2022-08-23T11:27:43Z | - |
dc.date.issued | 2017-11-21 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/22503 | - |
dc.description.abstract | Energy is the most important resource in state-of-the-art Internet of Things solutions. There are a lot of concepts and techniques dedicated to save energy, mainly focused to reduce transmission, since the energy used for preprocessing (encoding) is incomparable smaller than energy used for broadcasting. If applications do not require real-time measurements, data compression is one solution to energy saving problem. The goal of this paper was to develop new coding scheme for delta compression, that can be used for efficient data compression of temporally correlated data, such as temperature measurements coming from different smart devices. We proved that our coding scheme can achieve up to 85% energy saving. Compared to other coding techniques, our scheme has greater compression ratio and lower memory requirements. | en_US |
dc.publisher | IEEE | en_US |
dc.subject | data reduction, delta compression, internet of things | en_US |
dc.title | Data compression for energy efficient IoT solutions | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 2017 25th telecommunication forum (TELFOR) | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
PID5118401-with-cover-page-v2.pdf | 599.42 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.